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Morning Joe hosts appalled by 'evil and cruel' violent streak in Trump's GOP

Elon Musk

Rishi Sunak

Kamala Harris

Bill Gates

Andrew Ng

Yoshua Bengio

Fei-Fei Li

Demis Hassabis

Melanie Mitchell

Sam Altman

Dario Amodei

Geoffrey Hinton

Yann LeCun

Gary Marcus

Max Tegmark

Connor Leahy

Eliezer Yudkowsky

Jaan Tallinn

Marc Andreessen

Eric Schmidt

Norbert Wiener

Arthur Clarke

Irving John Good

Claude Shannon

Hans Moravec

John Smart

There's a "wall of fear-mongering and doomerism" in the AI world right now.

"Worrying about AI today is like worrying about overpopulation on Mars."

Concerns that AI could pose a threat to humanity is "preposterously ridiculous."

Claiming AI poses an existential threat is "such an extreme" and risks "wip[ing] out some of its potential benefits."

"I'm more concerned about... the risks that are here and now [than the existential threat of AI]."

Current AI is "not anywhere close" to posing an existential threat but it could in the future.

AI is the "biggest existential threat" to humanity.

AGI's worst-case scenario would be "lights-out for all of us."

Powerful AI systems "taking control" pose an "existential threat."

AI has a "10 to 25 per cent" chance of destroying humanity.

"The most likely result of building a superhumanly smart AI... is that literally everyone on Earth will die."

Does AI Pose an Existential Threat to Humanity?

A new study has claimed that Meta's implementation of 63 temporary "break glass" Facebook algorithm changes between Nov. 2020 and Mar. 2021 affected conclusions published within the academic journal Science in 2023 that the social media platform did not contribute to polarization.

PHYS

Last year's paper, published in July 2023 by Guess et al. in a funded collaboration with Meta, concluded from data taken between September to December 2020 that Meta's machine-learning algorithm "did not cause detectable changes" in polarization and showed less untrustworthy news content than a reverse chronological feed.

Science

However, Bagchi et al. claims that temporary algorithm changes intended to "diminish the spread of voter-fraud misinformation" following the 2020 US Presidential Election affected the "validity and conclusion" of the study by altering the experiment's control condition.

Zenodo

The new study found that whilst Facebook's new algorithm reduced user views of untrustworthy news by 24% compared to its pre-November model, untrustworthy news content increased again in Mar. 2021 following the end of Meta's temporary measures.

Eurekalert

Commenting on the new study, Science's editorial team stated that the results "casts doubt on Facebook's contentions" after Meta President of Global Affairs Nick Clegg previously cited 2023's paper to allege Facebook and Instagram did not "serve people content that keeps them divided."

Wall Street Journal

Meta's "break the glass" temporary algorithm measures were made publicly available prior to the 2023 paper's release, whilst its authors have since claimed that whilst the paper remains internally valid readers must "exercise caution" when making conclusions outside of the study period.

Science Editors Raise New Doubts on Meta’s Claims It Isn’t Polarizing

Science Editors Raise New Doubts on Meta’s Claims It Isn’t Polarizing

The Controversies

Andreessen

Ng

LeCun

Mitchell

Li

Bengio

Musk

Altman

Hinton

Amodei

Yudkowsky

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Science Editors Raise New Doubts on Meta’s Claims It Isn’t Polarizing

Science Editors Raise New Doubts on Meta’s Claims It Isn’t Polarizing

The Controversies

Andreessen

Ng

LeCun

Mitchell

Li

Bengio

Musk

Altman

Hinton

Amodei

Yudkowsky

Go Deeper

Articles on this story

Sign Up for Our Free NewslettersSign Up for Our Free Newsletters

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